
Glossary
Here we have collected all the key terms you need to deepen your understanding of spatial data science and location intelligence.
A
A
Artificial Intelligence (AI)
Artificial Intelligence (AI)
In spatial analytics, AI can be used to uncover trends in location data, automate decision-making, and optimize everything from delivery routes to urban planning.
B
B
C
C
Cross-Validation
Cross-Validation
Model validation technique for assessing how the results of a statistical model will generalize to new data.
D
D
E
E
F
F
G
G
Geographically Weighted Regression GWR
Geographically Weighted Regression GWR
Geographically Weighted Regression (GWR) quantifies the strength of relationships across space between a target and correlation variables.
Google Cloud's BigQuery
Google Cloud's BigQuery
Google Cloud's BigQuery is the serverless, cost-effective, and multi-cloud data warehouse offered by Google Cloud Platform (GCP).
H
H
I
I
J
J
K
K
L
L
Large Language Model (LLM)
Large Language Model (LLM)
A type of generative AI trained on massive datasets to understand and produce human-like language.
M
M
Machine Learning (ML)
Machine Learning (ML)
A subset of AI where algorithms learn from data to make predictions or decisions, improving over time without being explicitly programmed.
Markov Chain Monte Carlo MCMC
Markov Chain Monte Carlo MCMC
Class of simulation methods used to approximate the posterior distribution by randomly sampling in a probabilistic space.
N
N
Natural Language Processing (NLP)
Natural Language Processing (NLP)
A branch of AI that enables computers to understand, interpret, and generate human language.
O
O
P
P
Q
Q
R
R
R (Programming Language)
R (Programming Language)
R is a powerful programming language specifically designed for statistical computing and data analysis.
S
S
Spatial Data Catalog
Spatial Data Catalog
Use the Spatial Data Catalog to browse and filter our collection of public and premium datasets available in the Data Observatory.